Data Engineer

Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Apache Spark
Good to have skills : PySpark, Python (Programming Language), Google BigQuery
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems, contributing to the overall efficiency and effectiveness of data management within the organization.

Roles & Responsibilities:
- Expected to be an SME.
- Collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Expected to provide solutions to problems that apply across multiple teams.
- Mentor junior team members to enhance their skills and knowledge in data engineering.
- Continuously evaluate and improve data processes to ensure optimal performance and reliability.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Apache Spark.
- Good To Have Skills: Experience with PySpark, Python (Programming Language), Google BigQuery.
- Strong understanding of data pipeline architecture and design.
- Experience with ETL processes and data integration techniques.
- Familiarity with data quality frameworks and best practices.

Additional Information:
- The candidate should have minimum 12 years of experience in Apache Spark.
- This position is based at our Chennai office.
- A 15 years full time education is required.

15 years full time education

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